This project is a terminal-based log analyzer and real-time traffic monitoring system designed for web server environments. It processes raw server access logs to generate structured statistical insights, providing visibility into visitor behavior, bandwidth usage, and request latency. The tool functions as a high-performance utility capable of handling large-scale datasets through multi-threaded parsing and memory-efficient data structures.
The software distinguishes itself by offering both an interactive terminal interface and a web-based dashboard that updates in real-time via WebSocket streaming. It supports persistent data storage on disk, allowing for incremental updates and the retention of analysis state across sessions. Users can define custom log formats to ingest data from diverse web and cloud providers, while built-in security features enable the identification of malicious traffic patterns, bot activity, and geographic origins of requests.
Beyond core monitoring, the tool provides comprehensive reporting capabilities, including virtual host tracking and the ability to export processed statistics into machine-readable formats for external data pipelines. It is designed for flexible deployment, supporting execution within isolated container environments to facilitate portable log ingestion and analysis.
